Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal

Bibliographic Details
Main Author: Araújo, Joana
Publication Date: 2022
Other Authors: Fonseca, Rita, Mota, Natália, Araújo, Alexandre, Antunes I.M.H.R., Valente, Teresa, Barroso, Ana, Albuquerque, Maria Teresa
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.11/10121
Summary: A high concentration of Potentially Toxic Elements (PTE) can affect ecosystem health. It is therefore essential that spatial trends of pollutants are assessed and controlled. River sediment pollution is widespread in mining communities around the world, including in developing countries. This study, as part of the GeoMaTre project, restoration of water bodies impacted by mine drainage, an ongoing collaborative project (2021-2024) between the Polytechnic Institute of Castelo Branco and the University of Évora, Portugal, aimed to evaluate the potential risk of PTEs pollution in stream sediments under the direct influence of Caveira mine, a Cu-Pb Zn-Ag-Au old mine included in the Iberian Pyrite Belt, South Portugal. Quantifying pollution implies first the understanding of pollution-free stream sediment. Often, this background, or pollution baseline, is undefined or only partially known. Given that the concentration of chemical elements is compositional, as the attributes vary together, a compositional approach was used aiming to find a compositional balance, based on Compositional Data (CoDa) principles. A dataset of 33 samples was collected from within 0 to 10 cm depth, in a grid of 1Km x 1Km and thirteen chemical elements, including PTEs of variable toxicity (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Zn, V) and major elements from lithogenic sources (Fe, Al), were analyzed in preservedsamples at about 4°C. The most extractable forms of metals (except for Hg) were obtained by partial digestion with aqua regia (HCl and HNO3) in a high-pressure microwave digestion unit, followed by ICP-OES analysis. Hg was analyzed determined by a mercury analyzer based on thermal decomposition, gold amalgamation, and cold vapor atomic absorption spectroscopy detection.
id RCAP_48949d2e14a276af7cecd232d6bfba12
oai_identifier_str oai:repositorio.ipcb.pt:10400.11/10121
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Stream sediments pollution: A compositional baseline assessment at the Caveira mine, PortugalCaveira mineStream sedimentCompositional IndicatorSequential Gaussian SimulationProbability map.A high concentration of Potentially Toxic Elements (PTE) can affect ecosystem health. It is therefore essential that spatial trends of pollutants are assessed and controlled. River sediment pollution is widespread in mining communities around the world, including in developing countries. This study, as part of the GeoMaTre project, restoration of water bodies impacted by mine drainage, an ongoing collaborative project (2021-2024) between the Polytechnic Institute of Castelo Branco and the University of Évora, Portugal, aimed to evaluate the potential risk of PTEs pollution in stream sediments under the direct influence of Caveira mine, a Cu-Pb Zn-Ag-Au old mine included in the Iberian Pyrite Belt, South Portugal. Quantifying pollution implies first the understanding of pollution-free stream sediment. Often, this background, or pollution baseline, is undefined or only partially known. Given that the concentration of chemical elements is compositional, as the attributes vary together, a compositional approach was used aiming to find a compositional balance, based on Compositional Data (CoDa) principles. A dataset of 33 samples was collected from within 0 to 10 cm depth, in a grid of 1Km x 1Km and thirteen chemical elements, including PTEs of variable toxicity (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Zn, V) and major elements from lithogenic sources (Fe, Al), were analyzed in preservedsamples at about 4°C. The most extractable forms of metals (except for Hg) were obtained by partial digestion with aqua regia (HCl and HNO3) in a high-pressure microwave digestion unit, followed by ICP-OES analysis. Hg was analyzed determined by a mercury analyzer based on thermal decomposition, gold amalgamation, and cold vapor atomic absorption spectroscopy detection.Università di ParmaZanini , AndreaD'Oria, MarcoRepositório Científico do Instituto Politécnico de Castelo BrancoAraújo, JoanaFonseca, RitaMota, NatáliaAraújo, AlexandreAntunes I.M.H.R.Valente, TeresaBarroso, AnaAlbuquerque, Maria Teresa2025-04-09T16:24:01Z20222022-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.11/10121enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T01:47:56Zoai:repositorio.ipcb.pt:10400.11/10121Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:24:46.290206Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
title Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
spellingShingle Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
Araújo, Joana
Caveira mine
Stream sediment
Compositional Indicator
Sequential Gaussian Simulation
Probability map.
title_short Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
title_full Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
title_fullStr Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
title_full_unstemmed Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
title_sort Stream sediments pollution: A compositional baseline assessment at the Caveira mine, Portugal
author Araújo, Joana
author_facet Araújo, Joana
Fonseca, Rita
Mota, Natália
Araújo, Alexandre
Antunes I.M.H.R.
Valente, Teresa
Barroso, Ana
Albuquerque, Maria Teresa
author_role author
author2 Fonseca, Rita
Mota, Natália
Araújo, Alexandre
Antunes I.M.H.R.
Valente, Teresa
Barroso, Ana
Albuquerque, Maria Teresa
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Zanini , Andrea
D'Oria, Marco
Repositório Científico do Instituto Politécnico de Castelo Branco
dc.contributor.author.fl_str_mv Araújo, Joana
Fonseca, Rita
Mota, Natália
Araújo, Alexandre
Antunes I.M.H.R.
Valente, Teresa
Barroso, Ana
Albuquerque, Maria Teresa
dc.subject.por.fl_str_mv Caveira mine
Stream sediment
Compositional Indicator
Sequential Gaussian Simulation
Probability map.
topic Caveira mine
Stream sediment
Compositional Indicator
Sequential Gaussian Simulation
Probability map.
description A high concentration of Potentially Toxic Elements (PTE) can affect ecosystem health. It is therefore essential that spatial trends of pollutants are assessed and controlled. River sediment pollution is widespread in mining communities around the world, including in developing countries. This study, as part of the GeoMaTre project, restoration of water bodies impacted by mine drainage, an ongoing collaborative project (2021-2024) between the Polytechnic Institute of Castelo Branco and the University of Évora, Portugal, aimed to evaluate the potential risk of PTEs pollution in stream sediments under the direct influence of Caveira mine, a Cu-Pb Zn-Ag-Au old mine included in the Iberian Pyrite Belt, South Portugal. Quantifying pollution implies first the understanding of pollution-free stream sediment. Often, this background, or pollution baseline, is undefined or only partially known. Given that the concentration of chemical elements is compositional, as the attributes vary together, a compositional approach was used aiming to find a compositional balance, based on Compositional Data (CoDa) principles. A dataset of 33 samples was collected from within 0 to 10 cm depth, in a grid of 1Km x 1Km and thirteen chemical elements, including PTEs of variable toxicity (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Zn, V) and major elements from lithogenic sources (Fe, Al), were analyzed in preservedsamples at about 4°C. The most extractable forms of metals (except for Hg) were obtained by partial digestion with aqua regia (HCl and HNO3) in a high-pressure microwave digestion unit, followed by ICP-OES analysis. Hg was analyzed determined by a mercury analyzer based on thermal decomposition, gold amalgamation, and cold vapor atomic absorption spectroscopy detection.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2025-04-09T16:24:01Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.11/10121
url http://hdl.handle.net/10400.11/10121
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Università di Parma
publisher.none.fl_str_mv Università di Parma
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602676651196416